The annual average % contribution to the total annual average swe of all 6 mountain ranges:
- Black Mesa to Mt. Powell, Black Mesa to Defiance Plateau and Defiance Plateau and Mt Powell all have the highest correlations between each other - Least correlated are Black Mesa and Navajo Mt, Navajo Mt and Mt Powell, Navajo Mt and Defiance Plateau
Pearson’s Correlation R squared:
Chuska vs Black Mesa: 0.46
Carrizo vs Chuska: 0.63
Carrizo vs Black Mesa: 0.73
Chuska vs Black Mesa R squared: 0.4634808
Chuska vs Carrizo R squared: 0.631619
Black Mesa vs Carrizo R squared: 0.7250093
## Warning: Removed 1 rows containing non-finite values (stat_boxplot).
## Warning: Removed 1 rows containing non-finite values (stat_boxplot).
all_swe_total <- read_csv("winter_wy/all_swe_total.csv")
## Parsed with column specification:
## cols(
## date = col_date(format = ""),
## car_total = col_double(),
## ch_total = col_double(),
## bm_total = col_double(),
## dp_total = col_double(),
## nm_total = col_double(),
## mp_total = col_double(),
## mt_range_sum_total = col_double()
## )
# monthly mean totals for each region
## Parsed with column specification:
## cols(
## `Water Year` = col_integer(),
## Month = col_integer(),
## rMonth = col_integer(),
## cal_year = col_integer(),
## Fday = col_integer(),
## MeanSCA = col_double(),
## `MeanSCA (m2)` = col_double(),
## `MeanSCA (km2)` = col_integer(),
## Anomaly = col_integer(),
## `Anomaly by Month` = col_integer(),
## X11 = col_character()
## )
SCA Anomaly was scaled down by a factor of 10 to improve analysis